158 search results - page 10 / 32 » Community Learning by Graph Approximation |
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
DAM
1999
13 years 7 months ago
1999
The Stacker-Crane Problem (SCP) isa sequencing problem, arising inscheduling and transportation, that consists of nding the minimum cost cycle on a mixed graph with oriented arcs ...
JMLR
2006
13 years 7 months ago
2006
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...